a { text-decoration: none; color: #464feb; } tr th, tr td { border: 1px solid #e6e6e6; } tr th { background-color: #f5f5f5; }
About the roleAs a
Partner Consulting, Enterprise AI and Manufacturing Technology Strategy, you will make an impact by leading complex enterprise AI, Generative AI, and technology transformation programs for manufacturing and automotive clients. You will be a valued member of the
Enterprise AI Consulting Practice and work collaboratively with client executives, enterprise architects, engineering teams, security and data leaders, and cross-functional delivery teams.
This role combines strategic technology advisory, solution and integration architecture, and hands-on delivery leadership, with a focus on helping clients modernize enterprise platforms, integrate AI into business and technology workflows, and deliver production-grade solutions that create measurable business value.
In this role, you will:- Lead multi-workstream enterprise AI, Generative AI, and technology transformation programs, owning scope, planning, staffing, dependencies, risks, delivery quality, and client communications.
- Shape IT strategy, solution architecture, and integration architecture for manufacturing and automotive clients across R&D, sales and marketing, procurement, supply chain, transportation, and finance.
- Architect and guide technical decisions across cloud and data architecture, application modernization, application portfolio assessment, AI in the software development lifecycle, model selection, RAG design, orchestration patterns, and evaluation frameworks.
- Partner with enterprise architects and client technology leaders to integrate AI capabilities across ERP, manufacturing SaaS solutions, SCM, CRM, data platforms, identity, middleware, and digital platforms.
- Establish engineering and delivery standards, including delivery lifecycle phases, quality gates, testing, observability, release readiness, and reusable delivery assets such as reference architectures, accelerators, evaluation harnesses, and delivery playbooks.
- Consistently demonstrate the Cognizant Way to Lead, which means operating with Personal Leadership by building trust, collaboration, and inclusion, Organizational Leadership by driving vision, purpose, and strategic direction, and Business Leadership by exemplifying client focus, accountability, results, and financial acumen.
Work modelWe believe hybrid work is the way forward as we strive to provide flexibility wherever possible.
Based on this role's business requirements, this is a
remote position; however, the role
requires a hybrid and travel-based delivery model, including travel to client sites and Cognizant offices.
The working arrangements for this role are accurate as of the date of posting and may change based on project or client needs. We will always be clear about role expectations.
What you must have to be considered- 15 to 20 years of experience in software engineering, solution architecture, enterprise technology delivery, IT strategy, or consulting-led transformation programs.
- Deep understanding of manufacturing and automotive technology ecosystems, including R&D, sales and marketing, procurement, supply chain, transportation, finance, ERP, and manufacturing SaaS solutions.
- Proven experience designing and delivering production enterprise systems, AI-enabled solutions, or LLM-powered applications in complex, regulated, or large-scale enterprise environments.
- Strong command of cloud and data architecture, application modernization, application portfolio assessment, enterprise integration, APIs, microservices, event-driven architecture, security, and observability.
- Demonstrated delivery leadership across large transformation programs, including AI, GenAI, ERP modernization, cloud migration, data transformation, or enterprise platform modernization.
- Embodiment of the Cognizant Way to Lead: Leading Self, Leading Others, and Leading the Business.
- Embodiment of Cognizant's Values: Work as One, Dare to Innovate, Raise the Bar, Do the Right Thing, and Own It.
These will help you succeed- Experience with RAG pipelines, semantic search, embeddings, vector databases, re-rankers, context schemas, evaluation frameworks, tool-use agents, and multi-step AI workflows.
- Deep understanding of enterprise data architecture, governance, lineage, data residency, and operationalization for AI context, retrieval, and decision support.
- Experience with prompt engineering, context engineering, structured outputs, agentic systems, orchestration frameworks, DevSecOps, MLOps, or LLMOps practices.
- Prior client-facing consulting, advisory, or embedded engineering experience in a professional services environment.
- Bachelor's or Master's degree in Computer Science, Engineering, Information Systems, Business, or a related field. Cloud certifications across AWS, Azure, or GCP are preferred.
We're excited to meet people who share our mission and can make an impact in a variety of ways. Don't hesitate to apply, even if you only meet the minimum requirements listed. Think about your transferable experiences and unique skills that make you stand out as someone who can bring new and exciting things to this role.
CompensationThe annual base salary for this position is
$162,000 to $295,000, depending on experience and other qualifications of the successful candidate.
This position is also eligible for Cognizant's discretionary annual incentive program, based on performance and subject to the terms of Cognizant's applicable plans.
BenefitsCognizant offers a competitive benefits package, which may include:
- Medical, dental, vision, and life insurance
- 401(k) plan and contributions
- Employee stock purchase plan
- Employee assistance program
- 10 paid holidays plus PTO
- Paid parental leave and fertility assistance
- Learning and development certifications and programs
